commit 8e65dcb06dd3cc6d47ff4dda1a0ffb64a5dddb3d Author: Mikayla Dobson Date: Tue Apr 26 13:03:02 2022 -0500 init commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..30bc162 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +/node_modules \ No newline at end of file diff --git a/app.js b/app.js new file mode 100644 index 0000000..b92d558 --- /dev/null +++ b/app.js @@ -0,0 +1,16 @@ +const fs = require('fs'); +const http = require('http'); + +http.createServer((req, res) => { + res.write("Server is active."); + res.end(); +}).listen(8080); + +const spawn = require('child_process').spawn; +const read_pdf = spawn('python', ['./parse_text/read_pdf.py']); + +read_pdf.stdout.on('data', (data) => { + fs.write('./recipe_text/caught.txt', 'caught', err => { + if (err) console.log(err); + }); +}); \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..4a12731 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1018 @@ 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new file mode 100644 index 0000000..af63d66 --- /dev/null +++ b/parse_text/read_pdf.py @@ -0,0 +1,13 @@ +import fitz +import sys + +def read_PDF(path): + with fitz.open(path) as doc: + text = "" + for page in doc: + text += page.get_text() + with open(f'../recipe_text/{text[:20]}.txt', 'w') as f: + f.write(text) + +read_PDF('../recipes/sample_recipe.pdf') +sys.stdout.flush() \ No newline at end of file diff --git a/recipe_text/Off Platfo.txt b/recipe_text/Off Platfo.txt new file mode 100644 index 0000000..a82f24d --- /dev/null +++ b/recipe_text/Off Platfo.txt @@ -0,0 +1,80 @@ +Off Platform Project: The Best Of Baseball Awards +In this project, we will be looking at a massive baseball database containing information about players, +teams, managers, salaries, and just about anything you might want to know about baseball. This dataset +contains data from 2019 all the way back to 1871. Letʼs see what interesting facts we can learn from this +database! +Before you get started, make sure you have gone through the necessary setup steps found in our article about +setting up PostgreSQL locally. You will need to set up a PostgreSQL server as well as a client to connect to your +server. As described in the article linked above, we recommend using Postbird for your client. +This project is part of the Design Databases With PostgreSQL Skill Path. To learn the skills needed to complete +this project, check out the lessons on Queries, Aggregate Functions, and Multiple Tables. +Step 1 — Downloading The Data +In the files that you downloaded to begin this project, you will find a file called baseball_database.sql. In +your PostgreSQL client, create a new database (we named ours baseball), and then open this .sql file. This +should run all of the PostgreSQL commands to completely set up your tables and populate the tables with the +data. +If you're using Postbird, you can create a new database under the "Select database" menu, by choosing +"Create Database". Then you can then import the .sql file by selecting "Import .sql file" from the "File" menu. +A note about this data: This is a remarkable dataset that was put together by Sean Lahman, among others. This +work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. We ported Sean's +work to a PostgreSQL database to work for this project. +Step 2 — Investigate The Data +Now that we've got the data in a database, it's time to take a look at what we're working with. Note that there is +a lot of data here — 29 tables to be exact. If you're curious about any of the fields in any of these tables, you +can consult the readme.txt file provided in the downloaded files. You can also find more detailed +documentation on Sean Lahman's site. +For now, let's take a look at some of the most important tables. Take a look at the first few rows of the people, +batting, pitching, and teams table. You can do this by writing some SQL queries or by using your client's +GUI to look at the table's contents. (In Postbird, this is the "Content" tab). Make note of the fields there, and +how they relate to each other. Start to think about how these tables connect. For example, how might you link a +player's name to the team they played on in a given year. +Part 3 - Handing Out Awards +Now that we've got a sense of what the data looks like, let's use our querying skills to hold our own baseball +awards show — The Best of Baseball Awards. For each of these awards, write a query to find the award winner. +If you get stuck on any of these queries, you can look at our solution in the solutions.sql file provided. +We've also given you a hint on how you might start writing your queries for each of these awards. +Heaviest Hitters +This award goes to the team with the highest average weight of its batters on a given year. +Hint: We need to join three tables together — The people table contains the weights of each player. We can +link those players to the year and team they were batting for in the batting table. Finally, the batting table +has a team_id field, but we want the actual team name. We can link the batting table to the teams table to +find the name of the team. We'll need to use the GROUP BY, AVG(), and DESC to find the average weight of +the players on these teams. +Shortest Sluggers +This award goes to the team with the smallest average height of its batters on a given year. This query should +look very similar to the one you wrote to find the heaviest teams. +Hint: Once again we need to join the people, batting, and teams tables. This time, use your aggregate +functions on the height column. Also make sure to use ASC this time to get the shortest teams first. +Biggest Spenders +This award goes to the team with the largest total salary of all players in a given year. +Hint: You'll mostly be using the salaries table for this one. Use SUM(), GROUP BY and ORDER BY to sum +every player's salary for a given team on a given year. You'll want to group by both teamid and yearid. If you +want to get the real name of the team rather than just the teamid, you'll need to JOIN with the teams table. +Most Bang For Their Buck In 2010 +This award goes to the team that had the smallest "cost per win" in 2010. Cost per win is determined by the +total salary of the team divided by the number of wins in a given year. Note that we decided to look at just +teams in 2010 because when we found this award looking across all years, we found that due to inflation, teams +from the 1900s spent much less money per win. We thought that looking at all teams in just the year 2010 gave +a more interesting statistic. +Hint: This should look very similar to your last query. You'll still need to join the salaries and teams table. +This time you want to divide the sum of the players salaries by the w column from the teams table. Because of +this, you'll also need to add w to the GROUP BY clause. Finally, we added the round() function to the number +we're reporting to make our output a little more readable. +Priciest Starter +This award goes to the pitcher who, in a given year, cost the most money per game in which they were the +starting pitcher. Note that many pitchers only started a single game, so to be eligible for this award, you had to +start at least 10 games. +Hint: You'll need to connect the salaries table and the pitching table. The column you're interested in the +pitching table is gs (for "games started"). When you join these two tables, you'll want to make sure the +playerid, yearid, and teamid all match — it is possible for one player to play on multiple teams in a given +year. Make sure to use a where clause to ensure the pitcher has started in at least 10 games. Finally, you may +want to join with the people table to get the player's full name. +Part 4 — Create Your Own Award +Come up with your own award and write a query to find the winner. We'd love to see your creativity! If you come +up with a fun award, get in touch with us on Twitter (@Codecademy) to tell us your award name and winner. +Use the hashtag #TheBestOfBaseballAwards to see what other people have found! +To get you started, here were some award names that we thought could be fun: +Bean Machine: The pitcher most likely to hit a batter with a pitch +Canadian Ace: The pitcher with the lowest ERA who played for a team whose stadium is in Canada +Worst of the Best: The pitcher or batter inducted into the hall of fame with the worst career stats (you +can decide what stat to look at) diff --git a/recipes/TheBestOfBaseballAwards.pdf b/recipes/TheBestOfBaseballAwards.pdf new file mode 100644 index 0000000..e5edeb3 Binary files /dev/null and b/recipes/TheBestOfBaseballAwards.pdf differ diff --git a/recipes/sample_recipe.pdf b/recipes/sample_recipe.pdf new file mode 100644 index 0000000..d3aca44 Binary files /dev/null and b/recipes/sample_recipe.pdf differ